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ICML
2008
IEEE
14 years 9 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
RECOMB
2004
Springer
14 years 9 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven
ICPR
2008
IEEE
14 years 3 months ago
2D and 3D upper body tracking with one framework
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
Lei Zhang, Jixu Chen, Zhi Zeng, Qiang Ji
VTC
2007
IEEE
133views Communications» more  VTC 2007»
14 years 3 months ago
An Architecture for Situation-Aware Driver Assistance Systems
Current Driver Assistance Systems merely use a minimum set of information. By using additional information of the environment hazardous situations can be detected earlier, more re...
Matthias Röckl, Patrick Robertson, Korbinian ...
PKDD
2007
Springer
131views Data Mining» more  PKDD 2007»
14 years 2 months ago
Expectation Propagation for Rating Players in Sports Competitions
Abstract. Rating players in sports competitions based on game results is one example of paired comparison data analysis. Since an exact Bayesian treatment is intractable, several t...
Adriana Birlutiu, Tom Heskes